C#,DeepLearning,MNIST,Halcon,Classification

A Generative Adversarial Network (GAN) written entirely in c#

Neural Network training library in C++ and C# with GPU acceleration

Classifies images using DBN (Deep Belief Network) algorithm implementation from Accord.NET library

This is a C# WPF software, which helps to understand how TensorFlow and computer vision works in general. The efficiency of code will be improved as the project expands. Feel free to suggest how the code can be improved.

Implement Tensor Flow 2.0 Serving C# client example with gRPC and Rest. MNIST prediction example and web paint ASP.NET Core 5.0 and ReactJS/Redux application.

Mokka is a minimal Inference Engine for Dense Layer Neural Networks. Written on a single C# header, it uses AVX2

Shows how to create a neural network from scratch in C# without a 3th party library

GUI for Visualizing Convolutional Neural Network operations

Using the MNIST Database to train a neural network.

MNIST classifier using CNTK written in C++ and C#. Only used fully connected layers.

Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.

A simple implementation of a Neural Network modeled after Neilsen's book - but in .NET 7

It reads handwritten numbers given an input of pixel values. A supervised learning, gradient descent, mini-batching, softmax-output-activation neural network that is meant to be trained on the MNIST dataset (dataset not included in this repository).

DeepLearnUI implemented in GTK# for Linux/Unix/OSX Platform

A C# WGAN.

Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр

Object recognition by random binary data lookup for QMNIST